RESULTS OF THE STUDY OF THE ACCURACY OF THE FINPROPHET.COM SHARE PREDICTION SYSTEM BASED ON NEURAL NETWORKS

Below are the results of testing the system for predicting financial instruments based on neural networks https://finprophet.com. As testing, 10 stocks of the American market (NYSE, NASDAQ) were randomly selected: AAPL, ABT, C, CAT, CL, DHR, GLW, KO, MMM, T.

Result: FINPROPHET.COM on the specified sample within 2 months of testing from 05.10.2020 to 10.01.2021 correctly determined the moving average (price) movement vector in 80% of cases.

AAPL (05.10.2020)

AAPL (10.01.2021)

ABT (05.10.2020)

ABT (10.01.2021)

C (05.10.2020)

C (10.01.2021)

CAT (05.10.2020)

CAT (10.01.2021)

CL (05.10.2020)

CL (10.01.2021)

DHR (05.10.2020)

DHR (10.01.2021)

GLW (05.10.2020)

GLW (10.01.2021)

KO (05.10.2020)

KO (10.01.2021)

MMM (05.10.2020)

MMM (10.01.2021)

T (05.10.2020)

T (10.01.2021)

You can get more forecasts at FINPROPHET.COM (https://finprophet.com).

Successful investments and

victories in financial markets!